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<title>Library Evolutionary Algorithms for Clustering (LEAC): Class List</title>
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   <div id="projectname">Library Evolutionary Algorithms for Clustering (LEAC)
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<div class="title">Class List</div>  </div>
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<div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory">
<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span>]</div><table class="directory">
<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacedata.html" target="_self">data</a></td><td class="desc">Module for the handling of instances or also called objects or points </td></tr>
<tr id="row_0_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_count_label.html" target="_self">CountLabel</a></td><td class="desc">Stores the number of occurrences of a label for an attribute in a dataset </td></tr>
<tr id="row_0_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance.html" target="_self">Instance</a></td><td class="desc">Patterns, usually vectors in a multidimensional space </td></tr>
<tr id="row_0_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_class.html" target="_self">InstanceClass</a></td><td class="desc">Patterns, usually vectors in a multidimensional space, previamente clasificado </td></tr>
<tr id="row_0_3_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_class_freq.html" target="_self">InstanceClassFreq</a></td><td class="desc">Patterns, usually vectors in a multidimensional space, which is classified and with a number of occurrences </td></tr>
<tr id="row_0_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_freq.html" target="_self">InstanceFreq</a></td><td class="desc">Patterns, usually vectors in a multidimensional space, with an attribute to store occurrences of instances </td></tr>
<tr id="row_0_5_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_iterfaz_class.html" target="_self">InstanceIterfazClass</a></td><td class="desc"><a class="el" href="classdata_1_1_instance.html" title="Patterns, usually vectors in a multidimensional space.">Instance</a> with class </td></tr>
<tr id="row_0_6_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_weight.html" target="_self">InstanceWeight</a></td><td class="desc">Patterns, usually vectors in a multidimensional space </td></tr>
<tr id="row_0_7_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdata_1_1_instance_weight_class.html" target="_self">InstanceWeightClass</a></td><td class="desc">Patterns, usually vectors in a multidimensional space </td></tr>
<tr id="row_1_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_1_" class="arrow" onclick="toggleFolder('1_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacedist.html" target="_self">dist</a></td><td class="desc">Module for definition of distance between objects or instances </td></tr>
<tr id="row_1_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structdist_1_1_dist.html" target="_self">Dist</a></td><td class="desc">Generic dist </td></tr>
<tr id="row_1_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structdist_1_1_euclidean.html" target="_self">Euclidean</a></td><td class="desc"><a class="el" href="structdist_1_1_euclidean.html" title="Euclidean distance.">Euclidean</a> distance </td></tr>
<tr id="row_1_2_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structdist_1_1_euclidean_squared.html" target="_self">EuclideanSquared</a></td><td class="desc"><a class="el" href="structdist_1_1_euclidean.html" title="Euclidean distance.">Euclidean</a> distance sqrt </td></tr>
<tr id="row_1_3_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structdist_1_1_induced.html" target="_self">Induced</a></td><td class="desc"><a class="el" href="structdist_1_1_dist.html" title="Generic dist.">Dist</a> induced for real number <a class="el" href="citelist.html#CITEREF_Bezdek:ClusterAnalysis:FCM:1974">[8]</a> <a class="el" href="citelist.html#CITEREF_Bezdek:etal:ClusterAnalysis:FCM:1984">[6]</a> <a class="el" href="citelist.html#CITEREF_Bezdek:etal:GAclustering:GA:1994">[7]</a> </td></tr>
<tr id="row_1_4_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structdist_1_1_induced_square_root.html" target="_self">InducedSquareRoot</a></td><td class="desc"><a class="el" href="structdist_1_1_dist.html" title="Generic dist.">Dist</a> induced sqrt for real number <a class="el" href="citelist.html#CITEREF_Bezdek:ClusterAnalysis:FCM:1974">[8]</a> <a class="el" href="citelist.html#CITEREF_Bezdek:etal:ClusterAnalysis:FCM:1984">[6]</a> <a class="el" href="citelist.html#CITEREF_Bezdek:etal:GAclustering:GA:1994">[7]</a> </td></tr>
<tr id="row_2_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_2_" class="arrow" onclick="toggleFolder('2_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceds.html" target="_self">ds</a></td><td class="desc">Data structure </td></tr>
<tr id="row_2_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_bit_container.html" target="_self">BitContainer</a></td><td class="desc">Bit container </td></tr>
<tr id="row_2_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_disj_sets.html" target="_self">DisjSets</a></td><td class="desc">Disjoint-set </td></tr>
<tr id="row_2_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_iterator_partition_linked.html" target="_self">IteratorPartitionLinked</a></td><td class="desc">An iterator for a <a class="el" href="classds_1_1_partition_linked.html" title="Data structure to define the instances that belong to a cluster consecutively.">PartitionLinked</a> </td></tr>
<tr id="row_2_3_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_partition_linked.html" target="_self">PartitionLinked</a></td><td class="desc">Data structure to define the instances that belong to a cluster consecutively </td></tr>
<tr id="row_2_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_partition_linked_num_inst.html" target="_self">PartitionLinkedNumInst</a></td><td class="desc">A data structure for managing an instance partition with the number of instances per cluster </td></tr>
<tr id="row_2_5_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classds_1_1_partition_linked_stats.html" target="_self">PartitionLinkedStats</a></td><td class="desc">Partition with an array of membership </td></tr>
<tr id="row_3_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_3_" class="arrow" onclick="toggleFolder('3_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacegaencode.html" target="_self">gaencode</a></td><td class="desc">Encode chromosome </td></tr>
<tr id="row_3_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chrom_fixed_length.html" target="_self">ChromFixedLength</a></td><td class="desc">Chromosome with fixed length string </td></tr>
<tr id="row_3_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_base.html" target="_self">ChromosomeBase</a></td><td class="desc">Chromosome Base define basic attributes for a chromosome </td></tr>
<tr id="row_3_2_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_bit_array.html" target="_self">ChromosomeBitArray</a></td><td class="desc">Chromosome encoding string of bits </td></tr>
<tr id="row_3_3_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_c_b_g_a.html" target="_self">ChromosomeCBGA</a></td><td class="desc">A set of centroids stands for a codebook of the application and the partitions <a class="el" href="citelist.html#CITEREF_Franti:etal:GAclustering:gafranti:1997">[17]</a> </td></tr>
<tr id="row_3_4_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_crisp_matrix.html" target="_self">ChromosomeCrispMatrix</a></td><td class="desc">Chromosome bit crisp matrix </td></tr>
<tr id="row_3_5_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_f_e_a_c.html" target="_self">ChromosomeFEAC</a></td><td class="desc">Chromosome encoded integer string and centroids </td></tr>
<tr id="row_3_6_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_f_g_k_a.html" target="_self">ChromosomeFGKA</a></td><td class="desc">Chromosome fixed length string and legality ration </td></tr>
<tr id="row_3_7_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_g_g_a.html" target="_self">ChromosomeGGA</a></td><td class="desc">Chromosome encoding two parts </td></tr>
<tr id="row_3_8_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_i_g_k_a.html" target="_self">ChromosomeIGKA</a></td><td class="desc">Chromosome IGKA </td></tr>
<tr id="row_3_9_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_matrix_with_row_null.html" target="_self">ChromosomeMatrixWithRowNull</a></td><td class="desc">Matrix with row null chromosome </td></tr>
<tr id="row_3_10_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chromosome_string.html" target="_self">ChromosomeString</a></td><td class="desc">Chhromosome String define Chromosome encode for an string </td></tr>
<tr id="row_3_11_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgaencode_1_1_chrom_variable_length.html" target="_self">ChromVariableLength</a></td><td class="desc">Chromosome with variable length string </td></tr>
<tr id="row_4_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_4_" class="arrow" onclick="toggleFolder('4_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacegafuncobj.html" target="_self">gafuncobj</a></td><td class="desc">Definition of objective function </td></tr>
<tr id="row_4_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgafuncobj_1_1_g_a_func_obj_s_s_e.html" target="_self">GAFuncObjSSE</a></td><td class="desc">Definition of the class <a class="el" href="classgafuncobj_1_1_g_a_func_obj_s_s_e.html" title="Definition of the class GAFuncObjSSE. .">GAFuncObjSSE</a>. <a class="el" href="citelist.html#CITEREF_Chang:etal:GAclustering:GAGR:2009">[11]</a> </td></tr>
<tr id="row_4_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgafuncobj_1_1_g_a_function_objective.html" target="_self">GAFunctionObjective</a></td><td class="desc">Definition of the abstract class <a class="el" href="classgafuncobj_1_1_g_a_function_objective.html" title="Definition of the abstract class GAFunctionObjective. It is used to evaluate an objective function,...">GAFunctionObjective</a>. It is used to evaluate an objective function, in a virtual way in some other function </td></tr>
<tr id="row_5_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_5_" class="arrow" onclick="toggleFolder('5_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacegraph.html" target="_self">graph</a></td><td class="desc">Algorithms and utilities for graphs </td></tr>
<tr id="row_5_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgraph_1_1_algorithms_d_f_s.html" target="_self">AlgorithmsDFS</a></td><td class="desc">Depth-first search algorithms </td></tr>
<tr id="row_5_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classgraph_1_1_algorithms_d_f_s_adj_matrix.html" target="_self">AlgorithmsDFSAdjMatrix</a></td><td class="desc">Depth-first search algorithms for a matrix of bits </td></tr>
<tr id="row_6_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_6_" class="arrow" onclick="toggleFolder('6_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceinout.html" target="_self">inout</a></td><td class="desc">Module for input and output parameters </td></tr>
<tr id="row_6_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_adaptive_pc_pm.html" target="_self">InParamAdaptivePcPm</a></td><td class="desc">Input parameter for EA with adaptive probabilities of crossover and mutation <a class="el" href="citelist.html#CITEREF_Chang:etal:GAclustering:GAGR:2009">[11]</a> </td></tr>
<tr id="row_6_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_adaptive_pc_pm_fk.html" target="_self">InParamAdaptivePcPmFk</a></td><td class="desc">Input parameter for EA with adaptive probabilities of crossover and mutation <a class="el" href="citelist.html#CITEREF_Chang:etal:GAclustering:GAGR:2009">[11]</a> </td></tr>
<tr id="row_6_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_algorithmo.html" target="_self">InParamAlgorithmo</a></td><td class="desc">Input parameter for define propertys of the algorithmos </td></tr>
<tr id="row_6_3_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_c_b_g_a.html" target="_self">InParamCBGA</a></td><td class="desc">Input parameter for CBGA <a class="el" href="citelist.html#CITEREF_Franti:etal:GAclustering:gafranti:1997">[17]</a> </td></tr>
<tr id="row_6_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_clustering.html" target="_self">InParamClustering</a></td><td class="desc">Input parameter for clustering algorithm </td></tr>
<tr id="row_6_5_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_clustering_max_iter.html" target="_self">InParamClusteringMaxIter</a></td><td class="desc">Input parameter for algorithm with iteration maximum </td></tr>
<tr id="row_6_6_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_d_b_s_c_a_n.html" target="_self">InParamDBSCAN</a></td><td class="desc">Input parameter for DBSCAN algorithm <a class="el" href="citelist.html#CITEREF_Ester:Kriegel:Sander:Xu:Clustering:DBSCAN:1996">[Est]</a> </td></tr>
<tr id="row_6_7_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_f_c_m.html" target="_self">InParamFCM</a></td><td class="desc">Input parameter for FCM algorithm clustering <a class="el" href="citelist.html#CITEREF_Bezdek:ClusterAnalysis:FCM:1974">[8]</a> </td></tr>
<tr id="row_6_8_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_f_e_a_c.html" target="_self">InParamFEAC</a></td><td class="desc">Input parameter Fast Evolutionary Algorithm for Clustering F-EAC <a class="el" href="citelist.html#CITEREF_Alves:etal:GAclusteringLabelKVar:FEAC:2006">[2]</a> </td></tr>
<tr id="row_6_9_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_fk.html" target="_self">InParamFk</a></td><td class="desc">Input parameter for algorithms with Fixed K </td></tr>
<tr id="row_6_10_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_g_a_clustering.html" target="_self">InParamGAClustering</a></td><td class="desc">Input parameter for genetic algorithm </td></tr>
<tr id="row_6_11_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_g_a_prototypes_fk.html" target="_self">InParamGAPrototypesFk</a></td><td class="desc">Input parameter for GA-Prototypes algorithm <a class="el" href="citelist.html#CITEREF_Kuncheva:Bezdek:GAMedoid:GAPrototypes:1997">[27]</a> </td></tr>
<tr id="row_6_12_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_g_c_a.html" target="_self">InParamGCA</a></td><td class="desc">Input parameter for GCA algorithm k-medoid clustering <a class="el" href="citelist.html#CITEREF_Lucasius:etal:GAclusteringMedoid:GCA:1993">[30]</a> </td></tr>
<tr id="row_6_13_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_gen_w_o_chg_vk.html" target="_self">InParamGenWOChgVk</a></td><td class="desc">Input parameter Document clustering into an unknown number of clusters using a genetic algorithm <a class="el" href="citelist.html#CITEREF_Casillas:etal:GAclusteringVarK:GA:2003">[10]</a> </td></tr>
<tr id="row_6_14_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_g_g_a.html" target="_self">InParamGGA</a></td><td class="desc">Input parameter for GGA algorithm <a class="el" href="citelist.html#CITEREF_Agustin:etal:GAclusteringVarK:GGA:2012">[1]</a> </td></tr>
<tr id="row_6_15_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_h_k_a.html" target="_self">InParamHKA</a></td><td class="desc">Input parameter for HKA a hybrid algorithm for k-medoid clustering <a class="el" href="citelist.html#CITEREF_Sheng:Xiaohui:GAclusteringMedoid:HKA:2004">[37]</a> </td></tr>
<tr id="row_6_16_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_iso_data.html" target="_self">InParamIsoData</a></td><td class="desc">Input parameter for IsoData algorithm </td></tr>
<tr id="row_6_17_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_kmeans.html" target="_self">InParamKmeans</a></td><td class="desc">Input parameter for traditional algorithm clustering <a class="el" href="citelist.html#CITEREF_MacQueen:ClusterAnalysis:KMeans:1967">[31]</a> </td></tr>
<tr id="row_6_18_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_p_a_m.html" target="_self">InParamPAM</a></td><td class="desc">Input parameter for Medoids PAM algorithm <a class="el" href="citelist.html#CITEREF_Kaufman:Rousseeuw:Book:ClusterAnalysis:1990">[25]</a> </td></tr>
<tr id="row_6_19_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_p_c_a.html" target="_self">InParamPCA</a></td><td class="desc">Input parameter for PCA Algorithmo </td></tr>
<tr id="row_6_20_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_p_c_atransmatrix.html" target="_self">InParamPCAtransmatrix</a></td><td class="desc">Input parameter for PCA transformation matrix </td></tr>
<tr id="row_6_21_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_pc_pm.html" target="_self">InParamPcPm</a></td><td class="desc">Input parameter for GA with probability crossover (Pc) and mutation (Pm) </td></tr>
<tr id="row_6_22_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_pc_pm_fk.html" target="_self">InParamPcPmFk</a></td><td class="desc">Input parameter for GA with probability Pc, Pm and Fixed K </td></tr>
<tr id="row_6_23_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_pc_pm_vk.html" target="_self">InParamPcPmVk</a></td><td class="desc">Input parameter for GA with probability Pc, Pm and Variable K </td></tr>
<tr id="row_6_24_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_plot_clustering.html" target="_self">InParamPlotClustering</a></td><td class="desc">Input parameter for plot clustering </td></tr>
<tr id="row_6_25_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_pm.html" target="_self">InParamPm</a></td><td class="desc">Input parameter for GA with only probability mutation (Pm) </td></tr>
<tr id="row_6_26_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_pm_fk.html" target="_self">InParamPmFk</a></td><td class="desc">Input parameter for GKA with only probability mutation (Pm) and Fixed K <a class="el" href="citelist.html#CITEREF_Krishna:Murty:GAClustering:GKA:1999">[26]</a> </td></tr>
<tr id="row_6_27_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_read_inst.html" target="_self">InParamReadInst</a></td><td class="desc">Input parameter for read instances </td></tr>
<tr id="row_6_28_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_read_inst_freq.html" target="_self">InParamReadInstFreq</a></td><td class="desc">Input parameter for read instances with frequency </td></tr>
<tr id="row_6_29_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_slink.html" target="_self">InParamSlink</a></td><td class="desc">Input parameter for traditional algorithm clustering <a class="el" href="citelist.html#CITEREF_MacQueen:ClusterAnalysis:KMeans:1967">[31]</a> </td></tr>
<tr id="row_6_30_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_std_var.html" target="_self">InParamStdVar</a></td><td class="desc">Input parameter for standardization of variables Algorithmo </td></tr>
<tr id="row_6_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_sub_cluster_binary_vk.html" target="_self">InParamSubClusterBinaryVk</a></td><td class="desc">Input parameter for CLUSTERING algorithm A genetic approach to the automatic clustering problem<a class="el" href="citelist.html#CITEREF_Tseng:Yang:GAclusteringVarK:CLUSTERING:2001">[38]</a> </td></tr>
<tr id="row_6_32_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_t_g_c_a.html" target="_self">InParamTGCA</a></td><td class="desc">Input parameter for TGCA a two-stage genetic algorithm <a class="el" href="citelist.html#CITEREF_He:Tan:GAclusteringVarK:TGCA:2012">[18]</a> </td></tr>
<tr id="row_6_33_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_vk.html" target="_self">InParamVk</a></td><td class="desc"></td></tr>
<tr id="row_6_34_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_without_pc_pm_fk.html" target="_self">InParamWithoutPcPmFk</a></td><td class="desc">Input parameter for GA without probability crossover (Pc) and mutation (Pm)<a class="el" href="citelist.html#CITEREF_Bezdek:etal:GAclustering:GA:1994">[7]</a> </td></tr>
<tr id="row_6_35_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_in_param_without_pc_pm_vk.html" target="_self">InParamWithoutPcPmVk</a></td><td class="desc">Input parameter for GA without probability crossover (Pc) and mutation (Pm)<a class="el" href="citelist.html#CITEREF_Hruschka:Ebecken:GAClusteringLabelKVar:CGA:2003">[19]</a> </td></tr>
<tr id="row_6_36_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_line_split.html" target="_self">LineSplit</a></td><td class="desc">Used for processing files to read </td></tr>
<tr id="row_6_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_file_name.html" target="_self">OutFileName</a></td><td class="desc"></td></tr>
<tr id="row_6_38_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_algorithm.html" target="_self">OutParamAlgorithm</a></td><td class="desc">Output parameters for genetic algorithm </td></tr>
<tr id="row_6_39_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_clustering.html" target="_self">OutParamClustering</a></td><td class="desc">Output parameters for a generic clustering algorithm </td></tr>
<tr id="row_6_40_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_clustering_metric.html" target="_self">OutParamClusteringMetric</a></td><td class="desc">Output parameters for a generic clustering algorithm </td></tr>
<tr id="row_6_41_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_d_b_s_c_a_n.html" target="_self">OutParamDBSCAN</a></td><td class="desc">Output parameter for DBSCAN Algorithmo <a class="el" href="citelist.html#CITEREF_Ester:Kriegel:Sander:Xu:Clustering:DBSCAN:1996">[Est]</a> </td></tr>
<tr id="row_6_42_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_g_a_c.html" target="_self">OutParamGAC</a></td><td class="desc">Output Output parameters of the evolutionary algorithm </td></tr>
<tr id="row_6_43_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_g_a_medoid.html" target="_self">OutParamGAMedoid</a></td><td class="desc"></td></tr>
<tr id="row_6_44_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classinout_1_1_out_param_kmeans.html" target="_self">OutParamKmeans</a></td><td class="desc">Output parameter for Kmeans Algorithmo <a class="el" href="citelist.html#CITEREF_MacQueen:ClusterAnalysis:KMeans:1967">[31]</a> </td></tr>
<tr id="row_7_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_7_" class="arrow" onclick="toggleFolder('7_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacemat.html" target="_self">mat</a></td><td class="desc">Matrix module and associated operations </td></tr>
<tr id="row_7_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_bit_array.html" target="_self">BitArray</a></td><td class="desc">Bit array </td></tr>
<tr id="row_7_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_bit_matrix.html" target="_self">BitMatrix</a></td><td class="desc">Bit matrix </td></tr>
<tr id="row_7_2_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_crisp_matrix.html" target="_self">CrispMatrix</a></td><td class="desc">Bit crisp matrix </td></tr>
<tr id="row_7_3_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_matrix_base.html" target="_self">MatrixBase</a></td><td class="desc"><a class="el" href="classmat_1_1_matrix_base.html" title="MatrixBase.">MatrixBase</a> </td></tr>
<tr id="row_7_4_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_matrix_resizable_row.html" target="_self">MatrixResizableRow</a></td><td class="desc"><a class="el" href="classmat_1_1_matrix_resizable_row.html" title="MatrixResizableRow .">MatrixResizableRow</a> <a class="el" href="citelist.html#CITEREF_Franti:etal:GAclustering:gafranti:1997">[17]</a> </td></tr>
<tr id="row_7_5_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_matrix_row.html" target="_self">MatrixRow</a></td><td class="desc">Matrix store items for row </td></tr>
<tr id="row_7_6_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_matrix_triang.html" target="_self">MatrixTriang</a></td><td class="desc"><a class="el" href="classmat_1_1_matrix_triang.html" title="MatrixTriang.">MatrixTriang</a> </td></tr>
<tr id="row_7_7_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmat_1_1_matrix_with_row_null.html" target="_self">MatrixWithRowNull</a></td><td class="desc"><a class="el" href="classmat_1_1_matrix_with_row_null.html" title="MatrixWithRowNull.">MatrixWithRowNull</a> </td></tr>
<tr id="row_8_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_8_" class="arrow" onclick="toggleFolder('8_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacenearest.html" target="_self">nearest</a></td><td class="desc">Function to find nearest instances </td></tr>
<tr id="row_8_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classnearest_1_1_nearest_centroids.html" target="_self">NearestCentroids</a></td><td class="desc">Stores the relationship between centroids, the closest and its distance </td></tr>
<tr id="row_9_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_9_" class="arrow" onclick="toggleFolder('9_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacepartition.html" target="_self">partition</a></td><td class="desc">Gets the indexes of the group that each instance belongs to for different schemas representing a partition </td></tr>
<tr id="row_9_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition.html" target="_self">Partition</a></td><td class="desc">Definition of the abstract class <a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a>, to build a cluster of a dataset </td></tr>
<tr id="row_9_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_centroids.html" target="_self">PartitionCentroids</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances in base to following equation: </p><p class="formulaDsp">
<img class="formulaDsp" alt="\[ x_i \in C_j \leftrightarrow \| x_i - \mu_j \| \begin{array}{c}min\\ k \end{array} \| x_i - \mu_k \|,\; j=1,2,..k, \]" src="form_46.png"/>
</p>
<p> where <img class="formulaInl" alt="$m_j$" src="form_8.png"/>, represents the medoid of cluster <img class="formulaInl" alt="$C_j$" src="form_5.png"/> </td></tr>
<tr id="row_9_2_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_crisp_matrix.html" target="_self">PartitionCrispMatrix</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances with bit crisp matrix </td></tr>
<tr id="row_9_3_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_disj_sets.html" target="_self">PartitionDisjSets</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances in base DisjSets data structure </td></tr>
<tr id="row_9_4_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_fuzzy.html" target="_self">PartitionFuzzy</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances with fuzzy matrix <a class="el" href="citelist.html#CITEREF_Bezdek:ClusterAnalysis:FCM:1974">[8]</a> <a class="el" href="citelist.html#CITEREF_Bezdek:etal:ClusterAnalysis:FCM:1984">[6]</a> </td></tr>
<tr id="row_9_5_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_label.html" target="_self">PartitionLabel</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances with label string assigned previous </td></tr>
<tr id="row_9_6_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_label_vector.html" target="_self">PartitionLabelVector</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances with label vector assigned previous </td></tr>
<tr id="row_9_7_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classpartition_1_1_partition_medoids.html" target="_self">PartitionMedoids</a></td><td class="desc"><a class="el" href="classpartition_1_1_partition.html" title="Definition of the abstract class Partition, to build a cluster of a dataset.">Partition</a> of instances with closest medoids </p><p class="formulaDsp">
<img class="formulaDsp" alt="\[ x_i \in C_j \leftrightarrow \| x_i - m_j \| \begin{array}{c}min\\ k \end{array} \| x_i - m_k \|,\; j=1,2,..k, \]" src="form_47.png"/>
</p>
<p> where <img class="formulaInl" alt="$m_j $" src="form_48.png"/>, represents the medoid of cluster <img class="formulaInl" alt="$C_j$" src="form_5.png"/> </td></tr>
<tr id="row_10_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_10_" class="arrow" onclick="toggleFolder('10_')">&#9658;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceruntime.html" target="_self">runtime</a></td><td class="desc">Module for obtaining run-time statistics </td></tr>
<tr id="row_10_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classruntime_1_1_interval_positive_integer.html" target="_self">IntervalPositiveInteger</a></td><td class="desc">Interval of positive integer </td></tr>
<tr id="row_10_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classruntime_1_1_list_runtime_function.html" target="_self">ListRuntimeFunction</a></td><td class="desc"><a class="el" href="classruntime_1_1_list_runtime_function.html" title="ListRuntimeFunction store metrics in run time and count genetations.">ListRuntimeFunction</a> store metrics in run time and count genetations </td></tr>
<tr id="row_10_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classruntime_1_1_runtime_function.html" target="_self">RuntimeFunction</a></td><td class="desc">Function store metrics in run time </td></tr>
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<tr id="row_10_4_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classruntime_1_1_runtime_function_value.html" target="_self">RuntimeFunctionValue</a></td><td class="desc">Function store metrics in run time </td></tr>
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